Not Very Resilient

Last Update: 6/19/2026

AI Resilience Score for Weighers & Measurers:

23.6%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Low

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient weighing, measuring, and recordkeeping work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For weighers and measurers, 6 of 7 sources had data, and most pointed the same direction: AI Resilience Model and Will Robots Take My Job both flagged high AI exposure, while Microsoft saw low exposure, creating a modest split that holds confidence at medium. Weak demand and economic signals pushed the score down, landing this role at "Not Very Resilient."

AI Resilience Report forWeighers, Measurers, Checkers, and Samplers, Recordkeeping

$45,650 median salary5,300 annual openingsSOC Code: 43-5111.00

Weighers, Measurers, Checkers, and Samplers, Recordkeeping are less resilient to AI impacts than most occupations, according to our analysis of 6 sources.

This career is labeled "Not Very Resilient" because so much of the core work, including visual inspections, barcode scanning, and recordkeeping, can now be handled by AI-powered cameras and computer vision systems that are faster and more accurate than humans doing those tasks by hand. The return on investment for companies is clear and immediate, which means businesses are adopting these tools quickly, leaving fewer openings for workers doing purely routine checking and logging.

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This role is not very resilient

This career is labeled "Not Very Resilient" because so much of the core work, including visual inspections, barcode scanning, and recordkeeping, can now be handled by AI-powered cameras and computer vision systems that are faster and more accurate than humans doing those tasks by hand. The return on investment for companies is clear and immediate, which means businesses are adopting these tools quickly, leaving fewer openings for workers doing purely routine checking and logging.

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Analysis of Current AI Resilience

Weighers & Measurers

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Weighers & Measurers jobs?

If you weigh, measure, check, or sample products for a living, you're seeing some of the fastest-moving AI deployment in any blue-collar role — but it's mostly augmenting workers rather than fully replacing them. Industrial cameras paired with deep-learning models now perform many visual checks that humans used to do by eye. At one Collins Aerospace plant, AI-enabled automated optical inspection cut circuit-board inspection time from 30 minutes to 10, raised output 14%, and halved the number of defective parts that slip through [1].

Trade press for the quality field describes multi-modal "fusion" inspection systems that combine cameras, lasers, and eddy-current sensors to catch defects single-technology lines would miss [2]. In shipping and receiving — the recordkeeping side of the job — warehouse vendors report that computer vision and "zero-touch" quality control are now embedded in goods-in, picking, and returns areas, automatically capturing barcodes and verifying contents without manual scanning [3]. The U.S. government is pushing this further: NIST invested $20 million in late 2025 to launch new centers specifically aimed at applying AI to American manufacturing [4].

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AI Adoption

How fast is AI adoption growing for Weighers & Measurers?

Adoption is happening quickly because the tools are commercially available, the ROI is obvious (fewer defects, faster throughput), and labor shortages in warehousing make automation attractive. The World Economic Forum projects 22% of all jobs will be disrupted by 2030, with 92 million displaced but 170 million new roles created — and nearly 40% of current skills changing [5]. The good news for you: the same report stresses that human judgment, problem-solving, and resilience remain in high demand.

Workers who learn to operate, calibrate, and audit AI inspection systems — interpreting flagged items, handling exceptions, and ensuring compliance with standards — are becoming more valuable, not less. Think of AI as a tireless second pair of eyes that handles the repetitive counting and logging, while you focus on judgment calls, troubleshooting, and quality leadership.

Sources

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Will AI replace Weighers & Measurers?

Will AI replace Weighers & Measurers?

In part. We think AI will eventually automate a real share of this work, but the transition also opens doors for workers who adapt early.

Our 23.6% AI Resilience Score reflects a real and ongoing shift. Industrial cameras and deep-learning models already handle many visual checks that humans used to do by eye, and at one Collins Aerospace plant, AI-enabled inspection cut circuit-board review time from 30 minutes to 10 while halving defect escapes [1]. In warehouses, computer vision now captures barcodes and verifies contents automatically, with little or no manual scanning [3]. The U.S. government is accelerating this with $20 million invested in late 2025 to apply AI across American manufacturing [4].

That said, someone still needs to calibrate these systems, interpret flagged exceptions, and make judgment calls when the machine is uncertain. Those tasks stay human for now. The bigger opportunity is in the career journey beyond this role. Workers who learn to operate and audit AI inspection tools are building skills in quality assurance, process control, and manufacturing technology. Those skills transfer into roles with stronger long-term demand. The World Economic Forum projects 170 million new jobs created globally even as automation displaces others [5]. The path forward is not clinging to manual counting, it is becoming the person who oversees the machines doing it.

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Latest AI news for Weighers & Measurers

These articles provide valuable insights for students pursuing careers as Weighers, Measurers, Checkers, and Samplers in Recordkeeping. For instance, the job distribution data from Nebraska indicates a stable demand, emphasizing the need for skilled workers in this field. Additionally, the LinkedIn article highlights how AI is influencing job tasks, suggesting that incorporating technology skills can enhance employability. Embracing AI tools can lead to greater efficiency and adaptability, fostering resilience in careers that are evolving with technological advancements.

More Career Info

Career: Weighers, Measurers, Checkers, and Samplers, Recordkeeping

They ensure products meet standards by weighing, measuring, and checking them, then recording the results to keep everything accurate and organized.

Employment & Wage Data

Median Wage

$45,650

Jobs (2024)

49,800

Growth (2024-34)

-4.8%

Annual Openings

5,300

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

72% ResilienceSupplemental

Inspect incoming loads of waste to identify contents and to screen for the presence of specific regulated or hazardous wastes.

2

70% ResilienceSupplemental

Unload or unpack incoming shipments.

3

65% ResilienceSupplemental

Prepare measurement tables and conversion charts, using standard formulas.

4

62% ResilienceSupplemental

Maintain financial records, such as accounts of daily collections and billings, and records of receipts issued.

5

58% ResilienceSupplemental

Sort products or materials into predetermined sequences or groupings for display, packing, shipping, or storage.

6

56% ResilienceSupplemental

Examine products or materials, parts, subassemblies, and packaging for damage, defects, or shortages, using specification sheets, gauges, and standards charts.

7

55% ResilienceCore Task

Collect or prepare measurement, weight, or identification labels and attach them to products.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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